Senior DevOps Engineer - Accelerated Computing
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About this role
Employer-provided description, formatted for easier reading.
We are looking for a Senior DevOps Engineer to join our team. We build and test software at scale - software that finds its way into AI applications, self-driving cars, and the fastest supercomputers solving challenges in science, medicine, and engineering. We need someone with strong integrity, reliability, persistence, problem-solving ability, and skills in Linux, scripting, debugging, and AI development.
The ideal candidate will possess software system architecture and design expertise, allowing them to own and drive important projects that empower hundreds of engineers.
What you will be doing:
- Enabling automated builds and tests on a wide array of architectures, operating systems, and devices.
- Building infrastructure and tools to collect and glean insights from data, working collaboratively with colleagues and product engineers.
- Building relationships across the organization that allow us to work together as a team.
- Working in a highly dynamic environment where we have to think on our feet.
What we need to see:
- 8+ years of proven relevant industry experience.
- Proficient with Linux.
- Bachelors degree in a related area of study or equivalent experience.
- Expert with scripting in one or more of Python, Perl, shell, Groovy, etc..
- Strong background with deploying, configuring, and debugging distributed systems.
- Strong familiarity with the software build process (compiling C++ code with GNU Make, CMake, Visual Studio, MSBuild, etc.).
- Background with some form of source control management (SCM), preferably git.
- Familiar with containers.
Ways to stand out from the crowd:
- Experience with HPC hardware systems such as compute clusters and HPC software performance benchmarking on such systems.
- System administrator level experience with multi-user Linux servers.
- Proven experience with DevOps and cluster infrastructure tools, such as Jenkins, GitLab, Slurm, Artifactory, Docker, Kubernetes, and Ansible.
- Hands-on experience deploying to Cloud providers such as AWS, GCP, OCI, and Azure.
- Background with GPU accelerated systems as well as experience working in an environment where Agile processes and methodologies are used.
NVIDIA is regarded as one of the technology world’s most desirable employers. We have some of the most expert and hard-working people in the world working for us. Are you creative and autonomous?
Do you love a challenge? If so, we want to hear from you. Come help us build the real-time, efficient computing platform driving our success in the dynamic and quickly growing field of Artificial Intelligence.
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